WO2018046102A1 - Système automatisé basé sur la télématique avec déclenchement et fonctionnement commandés par score de systèmes de transfert de risque d'économie de partage automatisé et procédé correspondant - Google Patents

Système automatisé basé sur la télématique avec déclenchement et fonctionnement commandés par score de systèmes de transfert de risque d'économie de partage automatisé et procédé correspondant Download PDF

Info

Publication number
WO2018046102A1
WO2018046102A1 PCT/EP2016/071384 EP2016071384W WO2018046102A1 WO 2018046102 A1 WO2018046102 A1 WO 2018046102A1 EP 2016071384 W EP2016071384 W EP 2016071384W WO 2018046102 A1 WO2018046102 A1 WO 2018046102A1
Authority
WO
WIPO (PCT)
Prior art keywords
risk
transfer
telematics
parameters
score
Prior art date
Application number
PCT/EP2016/071384
Other languages
English (en)
Inventor
Andri PERL
Sebastiaan BONGERS
Donato GENOVESE
Héctor NAVES SORDO
Original Assignee
Swiss Reinsurance Company Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Swiss Reinsurance Company Ltd. filed Critical Swiss Reinsurance Company Ltd.
Priority to PCT/EP2016/071384 priority Critical patent/WO2018046102A1/fr
Priority to US15/448,144 priority patent/US11580474B2/en
Priority to CN201780055723.3A priority patent/CN109690606B/zh
Priority to EP17765175.9A priority patent/EP3510553A1/fr
Priority to PCT/EP2017/072787 priority patent/WO2018046743A1/fr
Publication of WO2018046102A1 publication Critical patent/WO2018046102A1/fr

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance
    • G06Q50/40
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q2240/00Transportation facility access, e.g. fares, tolls or parking

Definitions

  • the present invention relates to mobile real-time systems reacting dynamically on captured environmental or operational parameters, in particular to monitoring, capturing and reacting telematics systems on automotive parameters of motor vehicles during operation.
  • the present invention further relates to telematics- based automated systems for risk-transfer, alert and real-time notification for motor vehicles and wireless technology used in the context of telematics, in particular for automated risk-transfer related to (i) ride-hailing, including taxi ride-hailing risk-transfer systems (for example in the context of UBER, (ii) car sharing (for example Daimler Car2go, BMW ReachNow), and (iii) peer-to-peer car sharing (for example Drivy) .
  • the invention also relates to telematics-based real-time expert systems.
  • the term telematics, in particular traffic telematics refers to systems that are used for
  • the present invention relates to the use of telematics together with real-time risk-monitoring, automated risk-transfer and insurance systems based on captured and measured usage-based and/or user-based telematics data.
  • Sharing economy as well as peer-to-lending economy practices have become increasingly popular in recent years. From swapping systems to network transportation to private kitchens, sharing with strangers appears to be a new social trend. Although Uber, Airbnb, and other online platforms have shared access to a variety of services and facilities, issues have been raised as to public safety, health, and limited liability of these sharing economy practices. In addition, these innovative and fast developing practices have been counteracted by professionals offering similar services by arguing that the sharing economy and peer-to-peer lending opens the door to unfair competition. Regulators are challenged since there is a need to protect possible users of these practices from fraud, liability, and unskilled service providers. The related technical problems are complex since they touch many fields and often the border line to pure private use and risk-transfer is difficult to draw.
  • shared economy is intended to capture new, collaborative forms of creation, production, distribution, trade and consumption of goods and services that are being enabled by new technological platforms.
  • Uber, and the like at very least, allow one to begin imagining a different configuration of urban transportation services.
  • the fundamental idea behind shared economy and peer-to-peer lending technologies is that such technology should enable society to use their resources more efficiently by replacing the ownership of goods with access.
  • New, innovative technologies, such as real-time interconnecting mobile apps and online platforms help to provide the technical backbone that allows for the unlocking of what is called the "idle capacities", for example of houses, cars, tools and utilities, by matching the haves of certain people with the wants of other people.
  • Idle capacities for example of houses, cars, tools and utilities
  • Ride-sharing is an example of a sharing economy: people driving from A to B can harness the "idle capacity" of their cars by filling their seats and splitting the cost of gas with travelers going to the same
  • the spectrum of goods or services that are conveyed via the World Wide Web is not limited to apartment stays, as discussed above.
  • the sharing economy extends to books, DVDs, parking spots, access to Wi-Fi networks, vehicles, rides, neighborly help, creative projects, business ideas, loans, products for children, private lessons, groceries, own time or skills etc.
  • Sharing economy schemes are not even limited to peer-to-peer markets such as eBay, Airbnb, or Getaround.
  • other forms of sharing include lending, donating, and barter. Access to something instead of ownership thereof is always at the center of the services.
  • modern automotive engineered car driving including completely manually-controlled driving, partially autonomous car driving, driverless cars, self-driving cars, robotic cars
  • vehicles that are capable of sensing their environment and operational status or use.
  • Such modern automotive engineered vehicles are capable of detecting a great variety of operational or surrounding parameters using for example radar, LIDAR (measuring device to measure distances by means of laser light), GPS (Global Positioning System), odometer
  • the sensors may comprise active and passive sensing devices, wherein sensors are physical converter devices measuring a physical quantity and converting the measured physical quantity into a signal which can be read by an observer or by another instrument, circuit or system.
  • sensors for automotive motor vehicle or mobile cell phones are for example infrared sensors containing an infrared emitter, and an infrared detector, for example used with touchless switches, passive infrared (PIR) sensors reacting and detecting only ambient IR, such as for example motion sensors, speed detectors, or such as for example radar ⁇
  • IR/Laser radars such as microwave radars using the Doppler effect (the return echo from a moving object will be frequency shifted) or IR/Laser radars sending pulses of light for determining the difference in reflection time between consecutive pulses to determine speed
  • ultrasonic sensors emitting a sound and sensing for the echo to determine range
  • accelerometers measuring the rate of change of the capacitance and translating it into an acceleration by means of a proof mass
  • gyroscopes measuring a mass oscillating back and forth along the first axis, and plates on either side of the mass in the third direction where the capacitance changes when a rotation is detected around the second direction
  • IMU-sensors Inertial Measurement Unit
  • ADAS advanced driver assistance systems
  • Safety features are designed to avoid collisions and accidents by offering technologies that alert the driver to potential problems, or to avoid collisions by implementing safeguards and taking over control of the vehicle.
  • Adaptive features may automate lighting, provide adaptive cruise control, automate braking, incorporate GPS/ traffic warnings, connect to smartphones, alert drivers of other cars or dangers, keep the driver in the correct lane, or show what is in blind spots.
  • ADAS Advanced Driver Assistance Systems
  • ADAS technology is one of the fastest developing fields in automotive electronics, with increasing rates of adoption of industry-wide quality standards, in vehicular safety systems (cf. for example ISO 26262 of the International Organization for Standardization (ISO)) developing technology specific standards, such as IEEE 2020 for Image Sensor quality or communications protocols such as the Vehicle Information API (Application Programming Interface).
  • ISO International Organization for Standardization
  • ADAS is clearly pushing the development of wireless network connectivity to offer improved value by using car-to-car (also referred as Vehicle to Vehicle (V2V)) and car-to-infrastructure (also referred as Vehicle to Infrastructure (V2X)) data.
  • V2V Vehicle to Vehicle
  • V2X Vehicle to Infrastructure
  • SOA and telematics are becoming keys to managing the complexity of integrating known technologies and new applications.
  • telematics being a composite of telecommunication and information technology, is an interdisciplinary technical term encompassing telecommunications, vehicular technologies, road transportation, road safety, electrical engineering (sensors, instrumentation, wireless communications, etc.), and information technology (multimedia, Internet, etc.) .
  • the technical field of mobile parameter sensing, data aggregation or telematics are affected by a wide range of technologies, such as the technology of sending, receiving and storing information via telecommunication devices in conjunction with control over remote objects, the integrated use of telecommunications and informatics for applications in vehicles and for example with control of vehicles on the move, GNSS (Global
  • Navigation Satellite System technology integrated with computers and mobile communications technology in automotive navigation systems.
  • vehicle telematics The use of such technology together with road vehicles is also called vehicle telematics.
  • telematics trigger the integration of mobile communications, vehicle monitoring systems and location technology by allowing a new way of capturing and monitoring real-time data.
  • Usage-based risk-transfer systems such as for example that provided by the so-called Snapshot technology of the firm Progressive, link risk-transfer
  • telematics devices In the past five years, telematics devices show expanded use in cars by a factor 10 to 100. On such a broadened platform, telematics devices and systems may help to increase safety and improve driving behavior. Vehicle telematics refer to the installation or embedding of
  • telecommunication devices mostly in mobile units, such as for example cars or other vehicles, to transmit real-time driving data, which for example can be used by third parties' systems, as automated risk-monitoring and risk-transfer systems, providing the needed input for example to measure the quality and risks of individual drivers.
  • the telematics instruments for such changes are available in the market.
  • Vehicle tracking and global positioning satellite system (GPS) technologies are becoming
  • risk-transfer could be imaginable by interconnecting telematics with other real-time measuring systems.
  • Advantages provided by such systems could for example include, that after getting involved into a car accident, emergency and road services could be automatically activated, vehicle damage assessed, and the nearest repair shop contacted.
  • the customer experience could be transformed beyond traditional operability of risk-transfer systems and insurance coverage to real-time navigation and monitoring, including the automated activation of concierge service, safe driving tips, video-on-demand for the kids in the backseat, in-car or online feedback, and real-time vehicle diagnostics.
  • an insurance agent may want to exchange information with a customer associated with insurer for a number of different reasons.
  • the information exchange between the customer and the insurer and/or the insurer and the reinsurer is generally still cumbersome and time-consuming, and thus, risk-transfers provided by such structures typically remain static within a fixed, agreed upon, time period.
  • an existing or potential consumer may access an insurance agent's web page to determine a yearly or monthly cost of an insurance policy (for example hoping to save money or increase the level of protection by selecting a new insurance company).
  • the consumer may provide basic information to the insurance agent (for example name, a type of business, date of birth, occupation, etc.), and the insurance agent may use this information to request a premium quote from the insurer.
  • the insurer will simply respond to the insurance agent with a premium quote.
  • an underwriter associated with insurer will ask the insurance agent to provide additional information so that an appropriate premium quote can be generated.
  • an underwriter might ask the insurance agent to indicate how often, where and at which times a motor vehicle is mainly used or other data such as age of the motor vehicle and intended use (transportation etc.). Only after such additional information is determined, an appropriate risk analysis can be performed by the insurer to process an adapted underwriting decision, and/or premium pricing.
  • Integrated telematics technologies may offer new technological fields, in particular in monitoring and steering, by means of centralized expert systems, such as for example in the risk-transfer technology far more accurate and profitable pricing models, provided by such automated expert systems.
  • the advantage of such telematics systems is not restricted to risk transfer, inasmuch as there also advantages for example in fleet management that monitor employees' driving behavior via telematics, improving asset utilization, reduce fuel consumption and improve safety etc. etc.
  • Other fields may also benefit from such integrated telematics systems, as state and local governments need to strive to improve fuel consumption, emissions and highway safety.
  • PAYD dynamic pay-as-you-drive
  • the telematics technology provides the above-mentioned features in the form of an accelerometer allowing to assess driving style and behavior, thus expanding the risk factors normally tracked from the current 40 to more than 100.
  • accelerometers As demand for accelerometers has increased, auto-makers and device manufacturers have been able to push down the unit cost. The need for increased connectivity and access (driven by the "always-connected" consumer) will allow additional device applications.
  • most technologies in the telematics ecosystem are not unique to the insurance of vehicles. Social listening, neighborhood protection portals and home monitoring have an impact on how home and property insurance risks are assessed.
  • monitoring systems are available to adjust home temperature controls or automatically dispatch service providers should there be a water, heat or air-conditioning issue in a home.
  • telematics technologies are being developed for healthcare and senior living products, including location-based alerts, health-monitoring, and family-tracking services that may be used for how individual risk is assessed, allowing optimized risk-transfer in the life risk-transfer field.
  • Examples also include robotic nurse's aides designed to remind the elderly about routine activities, as well as to guide them through their homes and call for help in case of emergencies.
  • Telematics technology may also provide the basis technology for Service-oriented architectures (SOAs) or usage- based and/or user-based applications. Both are considered among the most promising of today's technologies. SOAs allow companies to make their applications and computing resources (such as customer databases and supplier catalogs) available on an as-needed basis, either via an intranet or the Internet. Based on a plug-and-play concept, SOA provides reusable software components across multiple technology platforms. It offers a new approach to software deployment while also tackling serious problems, such as complexity and ineffective data integration. This approach provides consistent technology, making it easier to access data and to integrate both new and old content. Information and services are centralized and reusable, shortening development times and reducing maintenance costs.
  • a software service such as retrieving customer information
  • the user or system When a software service is needed (such as retrieving customer information) the user or system sends a request to a directory, which determines the proper service name, location and required format, and then sends back the desired output (in this case, customer information).
  • Users and other applications do not need to know the internal workings of the data handling or processing. Nor do organizations need to own and maintain software; they just access the appropriate service over the Internet or network, or another data transmission network.
  • telematics technology may also provide the basis technology for other platforms, such as for example loT- platforms (Internet of Things), which provide the network of physical devices, vehicles, buildings and/or other items embedded with electronics, software sensors, actuators and network connectivity that enables these objects to collect and exchange data.
  • loT- platforms Internet of Things
  • loT allows objects to be sensed and controlled remotely across existing network infrastructures, also allowing for a more direct integration of the physical world into processor-driven systems and computer means. This integration results in improved efficiency, accuracy and economic benefits.
  • loT comprises sensors and actuators
  • the technology becomes a more general system-class of cyber-physical systems, which may encompass technologies such as smart grids, smart homes, intelligent transportation, and smart cities.
  • each thing is uniquely identifiable through its embedded computer system, and is also able to interoperate with the existing Internet infrastructure.
  • loT provides advanced connectivity of devices, systems, and services that goes beyond machine-to-machine (M2M) communications and covers a variety of protocols, domains and applications. These are incorporated herein by reference.
  • M2M machine-to-machine
  • Things in the loT refer to a wide variety of devices, but in particular to automobiles with built-in sensors, analysis devices for environmental monitoring or field operation devices, that can assist car drivers, for example, in search and rescue operations.
  • things in the loT can comprise a mixture of hardware, software, data and/or services.
  • Such devices collect useful data with the help of various existing technologies and then autonomously flow the data between other devices.
  • Current examples include the numerous prototype
  • Summary of the Invention I ⁇ is one object of the present invention to provide a fully automated automotive and telematics-based risk-transfer system, in particular in the field of connected platforms related to sharing economy systems (such as for example UBER, Didi Chuxing Taxi, Rakuten (Lyft), Via and Haxi, or own platforms of OEMs, such as for example Car2Go (Daimler) or DriveNow (BMW)) and corresponding insurance systems.
  • automotive systems allowing a user to dynamically and in real-time adapt a vehicle's operation or driving risks by means of an automated risk-transfer engine allowing to dynamically select appropriate risk-transfer profiles, based upon monitoring, capturing and reacting to automotive parameters of motor vehicles during operation.
  • an object of the invention to dynamically trigger automated, telematics-based automotive systems based on real-time capturing of vehicle telematics data.
  • Another object of the invention seeks to provide a way to technically capture, handle and automate dynamically adaptable, complex and difficult to compare risk transfer structures by the user and trigger related operations to automate optimally shared risks and transfer operations.
  • Another object of the invention is to dynamically synchronize and adjust such operations to changing environmental or operational conditions by means of invasive telematics data, harmonized use of telematics between the different risk-transfer systems based on an appropriate technical trigger structure approach, thus making the different risk-transfer approaches comparable.
  • the resource pooling systems of the different risk-transfer system shall create a comparable risk-transfer structure, allowing to optimize risk-transfer operation with the desired, technically- based, repetitive accuracy that relies on technical means, process flow and process control/operation.
  • the automated insurance telematics value chain there are many technologies offering individual elements, however, it is an object of the present invention to provide a holistic technical solution that covers the whole range from device installation and data capturing to the automated and accurate risk
  • the telematics-based system comprises telematics devices associated with the plurality of motor vehicles, wherein the telematics devices capture usage-based and/or user-based and/or operational telematics data of the motor vehicle and/or user, and wherein the plurality of telematics devices of the motor vehicles are connected via a data transmission network to a central, expert-system-based circuit of the telematics-based, score-driven system, wherein a data link is set up by means of a wireless connection between the central, expert-system-based circuit transmitting at least the captured usage-based and/or user-based and/or operational telematics data from the telematics devices to the central, expert-system-based circuit, in which the telematics-based, score-driven system comprises one or more first risk-
  • the telematics devices can for example comprise one or more wireless connections or wired connections and a plurality of interfaces for connection with at least one of a vehicle's data transmission bus, and/or a plurality of interfaces for connection with sensors and/or measuring devices and/or for connection with the dashboard and/or infotainment system and/or for connection with a mobile phone application, wherein, for providing the wireless connection, the telematics device acts as wireless node within the data transmission network by means of antenna
  • the telematics devices, especially the sensors and/or measuring devices, can be embedded in the vehicle, in particular OEM-linked, and/or at least partially mobile-node-integrated.
  • the on-board sensors and/or measuring devices and/or an on-board diagnostic system and/or an in- car interactive device can for example comprise proprioceptive sensors for sensing operating parameters of the motor vehicle and/or exteroceptive sensors for sensing environmental parameters during operation of the motor vehicle.
  • the automated and telematics-based-system can for example further comprise a second risk-transfer system to provide a second risk-transfer based on second risk-transfer parameters from one or more of the first risk-transfer systems to the second risk-transfer system, wherein the second risk-transfer system comprises second payment transfer modules configured to receive and store second payment parameters for pooling of the risks of the first risk- transfer systems associated with risk exposures transferred to the first risk-transfer systems, and in which the central, expert-system-based circuit is associated with the second risk- transfer system.
  • a second risk-transfer system to provide a second risk-transfer based on second risk-transfer parameters from one or more of the first risk-transfer systems to the second risk-transfer system
  • the second risk-transfer system comprises second payment transfer modules configured to receive and store second payment parameters for pooling of the risks of the first risk- transfer systems associated with risk exposures transferred to the first risk-transfer systems, and in which the central, expert-system-based circuit is associated with the second risk- transfer system
  • variable driving score parameter can for example at least be based upon a measure of driver behavior parameters, comprising speed and/or acceleration and/or braking and/or cornering and/or jerking, and/or a measure of distraction parameters comprising mobile phone usage while driving and/or a measure of fatigue parameters and/or alcohol use parameters and/or drug use parameters.
  • the variable contextual scoring parameter can for example at least be based upon measured trip score parameters, based upon road type and/or number of intersection and/or tunnels and/or elevation, and/or measured time of travel parameters, and/or measured weather parameters and/or measured location parameters, and/or measured distance driven parameters.
  • the variable vehicle safety scoring parameter can for example at least be based upon measured ADAS feature activation
  • the plurality of individualized risk-transfer profiles provided by the automated risk-transfer supplier systems can for example time-dependently vary based on the measured time-dependent use and/or style and/or environmental condition of driving by means of the triggered, captured, and monitored operating parameters or environmental parameters during operation of the motor vehicle.
  • the automated first risk-transfer systems provide a first risk-transfer based on first risk transfer parameters from the motor vehicle to the respective first risk-transfer system, wherein the first risk-transfer system comprises a plurality of payment transfer modules configured to receive and store first payment parameters associated with risk-transfer of risk exposures of said motor vehicles for pooling of their risks.
  • the risk-relevant parameters of the shadow request can for example comprise at least parts of the generated single or set compound of variable scoring parameters and/or at least parts of the usage-based and/or user-based and/or operating telematics data captured by means of the telematics devices.
  • the one or more wireless connections or wired connections of the telematics devices can for example comprise Bluetooth or Bluetooth LE and/or Wi-Fi and/or WiMAX as wireless connection for exchanging data using short-wavelength UHF (Ultra high frequency) radio waves in the ISM (industrial, scientific and medical) radio band from 2.4 to 2.485 GHz by building a personal area network (PAN) with on-board Bluetooth capabilities or Bluetooth LE (Low Energy) and/or 3G or 4G and/or GPS and/or GPRS and/or BT based on Wi-Fi 802.1 1 standard and/or WiMAX, and/or a contactless or contact smart card, and/or a SD card (Secure Digital Memory Card) or another interchangeable non-volatile memory card.
  • PAN personal area network
  • Bluetooth LE Low Energy
  • 3G or 4G 3G or 4G
  • GPS and/or GPRS and/or BT GPS and/or GPRS and/or BT based on Wi-Fi 802.1 1 standard and/or WiMAX
  • the on-board sensors and measuring devices and/or telematics devices and/or on-board diagnostic system and/or in-car interactive device can for example comprise the above-mentioned proprioceptive sensors and/or measuring devices for sensing the operating parameters of the motor vehicle and/or exteroceptive sensors and/or measuring devices for sensing the environmental parameters during operation of the motor vehicle.
  • the on-board sensors and measuring devices can for example comprise at least a GPS module (Global Positioning System) and/or geological compass module based on a 3-axis teslameter and a 3-axis accelerometer, and/or gyrosensor or gyrometer, and/or a MEMS accelerometer sensor consisting of a cantilever beam with the seismic mass as a proof mass measuring the proper or g-force acceleration, and/or a MEMS magnetometer or a magnetoresistive permalloy sensor or another three-axis magnetometers.
  • the defined risk events associated with transferred risk exposure of the motor vehicles can, for example, comprise at least transferred risk exposure related to liability risk-transfers for damages and/or losses and/or delay in delivery, wherein the occurred loss is automatically covered by the first risk-transfer system based on the first risk transfer parameters and correlated first payment transfer parameters (if a requested risk-transfer is not rejected by the system at this time) .
  • the exteroceptive sensors or measuring devices can, for example, comprise at least radar devices for monitoring the surroundings of the motor vehicle and/or LIDAR devices for monitoring the surroundings of the motor vehicle and/or global positioning systems or vehicle tracking devices for measuring positioning parameters of the motor vehicle and/or odometer devices for complementing and improving the positioning parameters measured by the global positioning systems or vehicle tracking devices and/or computer vision devices or video cameras for monitoring the surroundings of the motor vehicle and/or ultrasonic sensors for measuring the position of objects close to the motor vehicle.
  • the mobile telecommunication apparatus can for example act as wireless node within a corresponding data transmission network by means of antenna connections of the telematics devices, in particular mobile telecommunication networks such as for example 3G, 4G, 5G LTE (Long-Term Evolution) networks or mobile WiMAX or other GSM/EDGE and UMTS/HSPA-based network technologies etc., and more particular with appropriate identification means such as SIM (Subscriber Identity Module) etc.
  • the telematics devices can for example be connected to an on-board diagnostic system and/or an in-car interactive device, wherein the telematics devices capture usage- based and/or user-based and/or operational telematics data of the motor vehicle and/or user.
  • the telematics devices can for example be connected to an in- car interactive device and/or on-board diagnostic system, wherein the vehicle's speed and travel distances is monitored by a global positioning system (GPS) circuit and wherein the telematics data are transmitted via the telematics devices to the central, expert-system-based circuit by means of a cellular telecommunication connection.
  • GPS global positioning system
  • the telematics devices can comprise vehicle embedded telematics devices (OEM line fitted) or mobile node integrated telematics devices.
  • the telematics devices can for example provide the one or more wireless connections by means radio data systems (RDS) modules and/or positioning system including a satellite receiving module and/or a mobile cellular phone module including a digital radio service module and/or a language unit in communication with the radio data system or the positioning system or the cellular telephone module.
  • the satellite receiving module can for example comprise a Global Positioning System (GPS) circuit and/or the digital radio service module comprising at least a Global System for Mobile Communications (GSM) unit.
  • the plurality of interfaces of the mobile telecommunication apparatus for connection with at least one of a motor vehicle's data transmission bus can, for example, comprise at least one interface for connection with a motor vehicle's
  • the central, expert- system-based circuit can further comprise an aggregation module providing the risk exposure for one or a plurality of the pooled risk exposed motor vehicles based on the captured risk-related telematics data, wherein the first and second risk transfer parameters and the correlated first and second payment transfer parameters are dynamically generated based on the likelihood of the occurrence of the predefined risk events of the pooled motor vehicles.
  • the occurred and triggered losses can be automatically aggregated by means of captured loss parameters of the measured occurrence of risk events over all risk exposed motor vehicles within a predefined time period by incrementing an associated stored aggregated loss parameter and for automatically aggregating the received and stored first payment parameters over all risk exposed vehicles within the predefined time period by incrementing an associated stored, aggregated payment parameter, and wherein the variable first and second risk transfer parameters and the correlated first and second payment transfer parameters dynamically are generated based upon the ratio of the aggregated loss parameter and the aggregated payment parameter.
  • the first and second risk-transfer system can for example be fully automated steered, triggered, signaled, and mutually activated by means of the central, expert-system-based circuit, wherein the steering, triggering, signaling and activating is based on the dynamic- adaptable first and second risk transfer parameters and the correlated first and second payment transfer parameters, providing a self-sufficient risk protection for the variable number of motor vehicles associated with the telematics-based system by means of the coupled first and second insurance system.
  • the first risk-transfer system can for example comprise an automated first resource pooling system and the second risk-transfer system comprises a automated second resource pooling system, wherein the risk-exposed motor vehicles are connected to the first resource pooling system by means of a plurality of payment transfer modules configured to receive and store first payments from the risk-exposed motor vehicles for the pooling of their risk exposures, wherein the first risk-transfer system provides automated risk protection for each of the connected risk exposed motor vehicles based on received and stored first payment parameters, wherein the first risk- transfer system is connected to the second resource pooling system by means of second payment transfer module configured to receive and store second payment parameters from the first insurance system, for adopting of a portion of the risk exposures accumulated by the first risk-transfer system, and wherein, in the case of the occurrence of one of defined risk events, the occurred loss is automatically covered by the expert-system-based telematics system.
  • Focus of the present invention is providing an automated, technical, realtime operable solution for capturing and risk-transfer of (a) peer-to-peer lending schemes, especially related to car-sharing schemes and (b) of sharing economy transportation schemes, including related damage risks of third parties.
  • Automated mobility risk-transfer is a key feature of the invention. Going forward, the inventive systems allows third parties, such as OEMs (car sharing of OEMS are for example Daimler Car2Go, BMW's drive now or GM's Maven) to become the mobility service providers, in particular the mobility risk-transfer provider, which will reduce car ownership and people will solely focus on mobility risk-transfer, i.e. insurance.
  • OEMs car sharing of OEMS are for example Daimler Car2Go, BMW's drive now or GM's Maven
  • the system also makes it possible to provide automated mobility insurance risk solutions directly to, for example, an OEM based on the miles driven, number of passengers or on the driver of a ride-hailing company such as Uber. Therefore, one of the advantages of the present system is to provide a fully automated automotive and telematics-based risk- transfer system, in particular in the field of connected platforms related to sharing economy systems (such as for example UBER, Didi Chuxing Taxi, Rakuten (Lyft), Via and Haxi or own platforms of OEMs such as for example Car2Go (Daimler) or DriveNow (BMW)) and corresponding insurance systems.
  • UBER Uni Chuxing Taxi
  • Rakuten Lijöten
  • Via and Haxi or own platforms of OEMs such as for example Car2Go (Daimler) or DriveNow (BMW)
  • it technically allows the provision of a fully automated risk-transfer system allowing automated and dynamic adaptable risk-transfer in real-time.
  • the system has the advantage to allow provision of a technical and comprehensive solution that scores individual drivers based upon telematics data, in particular data sourced from CAN BUS or TCU (Telematics Control Unit), or through the car manufacturers or mapping providers' data cloud.
  • This has the advantage to access new data points which cannot be accessed through blackbox, OBD or other telematics devices.
  • This approach furthermore builds a bridge between the main accident contributing factors to risk factors, to telematics data points for scoring purposes, in order to have a precise risk assessment. As an example, one can look to the USA, where the No 2 accident cause is speeding.
  • the present innovation makes it possible to take into account speeding and other data points such as, for example, NAVI (Automotive Navigation System) vehicle speed information, vehicle speed at brake operation (trip data), or for example, the braking information can be coupled with the activation of ADAS systems such as ABS (Anti-lock braking system) or ESC (Electronic Stability Control) during a driving event (instead of G forces) .
  • ADAS systems such as ABS (Anti-lock braking system) or ESC (Electronic Stability Control) during a driving event (instead of G forces) .
  • ABS Anti-lock braking system
  • ESC Electronic Stability Control
  • the present invention allows for a complete new way for automated risk-transfer for motor vehicles in the field of shared economy and peer-to-peer lending schemes, wherein the second risk-transfer system (reinsurer) is able to respectively provide and distribute risk-transfers (insurance) as primary provider or through car manufacturers and OEMs of the motor vehicles.
  • the present system is completely flexible with regard to the risk-exposed motor vehicle or the insured.
  • the present system may provide a dynamic and completely individually adapted real-time risk-transfer for a motor vehicle and/or consumer.
  • the consumer may also select an insurance provider based on quotes.
  • an insurance provider based on quotes.
  • the applicability of the present invention is not restricted to risk- transfer in the context of motor vehicle, but can also be applied to other fields of risk- transfer, in particular to other fields of shared economy and peer-to-peer lending schemes, such as for, example, AirBnB or the like.
  • the invention allows for the provision of an automated and telematics-based risk-transfer platform (that allows almost fully automated risk-transfer, incl. policy issuing, claims handling etc.) .
  • the provider of the second risk-transfer system i.e.
  • the reinsurer, the OEM/car manufacturers or an independent third provider can act as distributor of the risk-transfers (insurances) through mobile (smart phone) applications or vehicle embedded devices, for example, infotainment system.
  • the invention also allows to technically enable features such as TBYB (Try Before You Buy) features, for example, by providing a free trial period of risk transfer, which is not possible for competing risk-transfers by prior art systems.
  • Second risk-transfer systems are able to analyze telematics data from the vehicles (embedded device) to provide a scoring of the driving style and data then transferred to
  • the second risk-transfer system is able to optimize its operational risk-transfer parameters.
  • the inventive system and platform provides end customer the choice to freely select a risk-transfer provider and product (for example PHYD (Pay how you Drive) or PAYD (Pay as you Drive)) based on these quotes.
  • a risk-transfer provider and product for example PHYD (Pay how you Drive) or PAYD (Pay as you Drive)
  • the risk-transfer systems may, for example, offer discounts based upon the personal driving behaviour (how a person brakes, accelerates, turns) .
  • the discounts are based on telematics devices installed in the motor vehicle or the mobile phone running an appropriate mobile phone application and the corresponding captured telematics data that measure behaviour and location over time.
  • the risk-transfer systems may, for example, offer discounts based on mileage (how much a person drives) and not where or how. They can for example be based on odometer readings captured via the telematics devices, aggregated GPS data if such a device is installed, or odometer readings from other telematics devices installed in the car.
  • the inventive telematics- based devices with mobile phone telematics and/or vehicle embedded telematics devices allows the provision of added value services to motor vehicles/policyholders, both risk-transfer and/or other services.
  • the present inventive system allows the provision of its core functionality through the mobile phone application or
  • dashboard/infotainment system/touchscreen of the motor vehicle It is a fully automated system for the provision of driver rating/scoring/behaviour comparison, for the issuance of quotes through the smart phone application or the dashboard
  • the invention can also be realized merely by a link to a smartphone app or an embedded app in above devices.
  • the telematics devices may be realized so as to maintain smartphone projection standards to allow mobile devices running a certain operating system to be operated in automobiles through the dashboard's head unit or a smart phone application of a smart phone. Examples may include Apple CarPlay, Mirrorlink, Android Auto, on-board navigation systems.
  • telematics devices there may also exist other device sources, such as for example, aftermarket and retrofitted devices (windscreen device, black box, OBD dongle, CLA device (cigarette lighter adaptor), eCall OBU, navigation system) as standalone or with link to smartphone app or internet webpage or smart watch or other wearables.
  • the invention is not restricted to any connection standard. It may be used, for example, based on NB-IOT and/or Wi- Fi and/or Bluetooth and/or cellular and/or ultra-narrow band (UNB) and/or a Low Power Wide Area (LPWA) (internet).
  • the present invention allows one to implement added features or services, such as automated policy module, incl.
  • Further value added services may be integrated in the present inventive system and technically automated, such as for example, stolen vehicle recovery, stolen vehicle tracking, post-accident services, crash reporting, driver coaching/training, eCall/bCall, reward, real-time feedback, driver scoring, driver safety training, real time traffic information, remote diagnostics, fuel consumption, location and prices of gas stations, POI service, social networking, scheduling and dispatch Geo-fencing, repair costs calculation, fleet management and tracking, ridesharing functionality (autonomous vehicles) or car sharing reservations, and/or "last mile" feature (if the car is parked).
  • the present invention provides a completely transparent application of complex risk-transfer assessments, where telematics devices dynamically collect data when people drive during shared economy ridings or peer-to-peer lending car use.
  • the present invention does not have to be restricted to interaction via OEM telematics, but could also be an aftermarket telematics device.
  • Aftermarket devices can comprise (for example, Windscreen device, Black box, OBD dongle, CLA device (cigarette lighter adaptor), eCall OBU, navigation system) as standalone or with a link to the inventive cellular phone node application.
  • smartphone projection standards may allow mobile devices running a certain operating system to be operated in automobiles through the dashboard's head unit. Examples include Apple Carplay, Mirrorlink, Android Auto, Onboard navigation systems.
  • Other aggregator devices can be provided, for example, by the mobile network node or smart phone and/or an embedded OEM device and/or infotainment system and/or dashboard's head unit and/or car's touchscreen (for example, in cars like Tesla) etc.
  • the data can, for example, be analyzed by a third party to provide a scoring of the driving style and then transferred to primary insurer partners which can give a quote based on the score obtained. It may include other relevant data that insurers can use to differentiate and steer their portfolio.
  • the inventive system allows providers/aggregators to bring new telematics consumers to insurers, where the consumers can dynamically select an insurance provider, based on these quotes.
  • the telematics-vehicle data allow to dynamically capture a vast number of risk-factors, in addition to risk-factors that are considered by prior art systems.
  • risk factors can, for example, comprise time- dependent speed measuring, hard braking, acceleration, cornering, distance, mileage (PAYD), short journey, time of day, road and terrain type, mobile phone usage (while driving), weather/driving conditions, location, temperature, blind spot, local driving, sun angle and dazzling sun information (sun shining in drivers' face), seatbelt status, rush hour, fatigue, driver confidence, throttle position, lane changing, fuel consumption, VIN (vehicle identification number), slalom, excessive RPM (Revolutions Per Minute), off road, G forces, brake pedal position, driver alertness, CAN (Controller Area Network) bus (vehicle's bus) parameters including fuel level, distance to other vehicles, distance to obstacles, driver alertness, activated/usage of automated features, activated/usage of Advanced Driver Assistance Systems, traction control data, usage of headlight
  • the advantage of the generated score parameters mirrors the captured sensory data in that the data components of the score can even, for example, comprise: customer policy details, individual driving data, crash forensics data, credit scores, statistical driving data, historic claims data, market databases, driving license points, statistical claims data, context data of weather or road type or surrounding.
  • This broad monitoring capability further allows for the provision of a technical solution for the optimized coupling of the two automated risk-transfer systems with a better and more effective technical implementations, thereby enabling to share and minimize the needed automotive resources and to provide a unified, optimized multi-tier risk-transfer approach by sharing expert and development means for generating minimized conditions for the necessarily required resource-pooling (for example, pooled premiums) .
  • the present invention provides a holistic technical solution that covers the whole range of risk-transfer structures from collecting sensor and ADAS (advanced driver assistance systems, or active safety) data to accurate risk analysis for automated risk-transfer systems/coverage and value added services (for example, car sharing solutions, fleet management, alerts, cross-selling, consultancy), which is not possible with the prior art systems.
  • ADAS advanced driver assistance systems, or active safety
  • the present invention provides an automated risk-transfer system for all kinds of risk-transfer schemes, such as for example, motor or product liability (re-)insurance systems and/or risk-transfer systems related to or depending on partially or fully automated vehicles. Also, the present invention provides a holistic and unified, automated technical approach for coverage of the motor vehicles in all different structures of risk-transfer, such as for example, product liability for car and/or technology manufacturer, driver liability coverage. Furthermore, the present invention also provides a holistic technical solution that covers the whole range from automotive control circuits and/or telematics devices and/or app installations to the automated and accurate risk measurement, analysis and management.
  • risk-transfer schemes such as for example, motor or product liability (re-)insurance systems and/or risk-transfer systems related to or depending on partially or fully automated vehicles.
  • the present invention provides a holistic and unified, automated technical approach for coverage of the motor vehicles in all different structures of risk-transfer, such as for example, product liability for car and/or technology manufacturer, driver liability coverage.
  • the present invention also provides a
  • the present invention which is enhanced by contextual data, is able to provide best and highest optimized technical solution to the multi-tier risk-transfer system that is adapted in real-time. It allows one to capture and control the driver score behavior, and compare its behavior within the technical operation and context.
  • the score driving module can, for example, automatically capture scores risks according to measured maintenance (for example, maintenance failure by owner) and surveillance factor extracted from the automotive data associated with the motor vehicle or the use of active safety features.
  • the telematics based feedback means of the system may, for example, comprise a dynamic alert feed via a data link to the motor vehicle's automotive control circuit, wherein the central, expert-system-based circuit heads up device alerts drivers immediately to a number of performance measures including, for example, high RPM, i.e. high revolutions per minute as a measure of the frequency of the motor rotation of the motor vehicle's engine, unsteady drive, unnecessary engine power, harsh acceleration, road anticipation, and/or ECO drive.
  • the inventive telematics-based system provides the opportunities for real-time dynamic risk-adaption and improvement, i.e. as and when they happen, related to the motor vehicle's risk patterns (for example, location, speed, etc.).
  • the automotive car system not only allows to mutually optimize the operational parameters of the first and second risk transfer system, but also optimizes the risk and/or risk behavior on the level of the risk exposed motor vehicles. No prior art system allows such an integral, real-time optimization.
  • the telematics-based car system can, for example, dynamically generate risk reports of selected motor vehicles.
  • Such reports provide a new approach ⁇ o sharing and comparing vehicles' statistics, which is one of the technical requirements that potential users of shared economy ridings or peer-to-peer car lendings are allowed to verify prior to use by a certain potential car sharer.
  • the proposed invention with, for example, prefunding automotive enabled risk-transfer ((re)insurance) means will stimulate the carriers (first- tier risk-transfer systems) to provide its automotive data and claims' histories to the second-tier risk-transfer system in order to continually improve its scoring service, which in turn benefits carrier in helping reduce costs and combined ratio.
  • the present invention further allows automated optimization of second risk-transfer systems by offering the aggregation system of the present invention, incl. the telematics devices and platform/scoring to first-risk-transfer systems, i.e.
  • the invention makes it possible to be operated on a completely automated basis, wherein a customer can, for example, download an aggregation application in order to get insurance coverage. Further, the invention makes it possible to provide automated motor reinsurance (second risk-transfer) capacity to sharing economy specialized insurance companies like Metromile (incl telematics) / SafeShare) or transportation companies such as Lyft/Uber in exchange for data and potentially scoring.
  • the system can be realized, for example, in that the provider of the inventive system is in partnership with transportation sharing economy companies (incl.
  • the second risk-transfer system provides the inventive system, the second insurance system can also directly provide the scoring and reinsurance, with optimized second risk-transfer parameters.
  • the end user may firstly download the second risk-transfer labeled or white labeled mobile node application to perform insurance coverage for sharing economy related risks, especially related to vehicle sharing or transportation services, for example third-party insurance coverage due to ride-sharing risks incl.
  • the second risk-transfer system can, for example, offer a white labeled mobile node application for first risk-transfer systems, i.e. insurance systems, which allows issuance of quotes and policies through the mobile phone application, providing a score by means of the inventive system associated with the second risk-transfer system and data in return from the first risk-transfer systems, thereby providing second risk-transfer, i.e.
  • the distribution could also be associated with and through the car manufacturer with its embedded devices or online portal.
  • the measured and/or captured telematics data for example, from the user's mobile application of vehicle usage is analysed by means of the inventive system to provide the scoring incl. ridesharing or car sharing information (for example, vehicle type, miles driven, number of people serviced/provided a lift, rental period of the car, potentially driving style, third party vehicle type, contextual data and score, individual score, AV/ADAS features score incl. level of automation, etc.) and then transferred to the automated first insurance system, i.e. the primary insurer, which generates a
  • Motor third party liability (MTPL) risk-transfer is typically legally-required compulsory liability insurance. All motor vehicles participating in road traffic and subject to registration in traffic must normally have valid MTPL insurance. Based on the motor third party liability risk-transfer, the first risk-transfer system will indemnify the traffic losses, created by the motor vehicle or user who caused the traffic accident, to the victim. Thus, MTPL risk-transfer gives the road user reliability that possible damage the user creates will be indemnified and that the user who caused the damage must not indemnify it himself. On the other hand, mandatory MTPL risk-transfer gives the victim confidence that the losses caused to him will be indemnified. Typically, MTPL risk-transfer works based on Motor Third Party Liability Risk-Transfer Regulations. Motor Other
  • Damages can for example comprise risk-transfer for (i) theft or robbery, as well as if the car parts are stolen because they are normally also automatically comprised in MOD, and (ii) damage comprising damages of a) in road traffic accidents and/or caused by fire, b) caused by forces of nature, c) caused by fallen objects and substances, d) third-party unlawful action, d) if the damage was caused by animals or birds, and/or e) breakage of the windscreen.
  • the inventive system is not limited to MTPL/MOD risk-transfer.
  • the inventive system is able to provide an automated risk-transfer, covering all possible risks associated with shared economy schemes and/or peer-to-peer lending risks associated with motor vehicles, in particular all main related main risks as (i) accident risks, (ii) Motor Other Damages (MOD) risks, (iii) property risks, (iv) Motor Third-Party Liability (MTPL) risks, (v) General Third- Party Liability (GTPL) risks.
  • sharing economy risk-transfer and damage coverage comprises a ⁇ least sharing economy transportation or car sharing/peer-to- peer lending related damages to Third Parties (for example if a user offers
  • the central, expert-system-based circuit comprises a table with stored categorization trigger parameters for triggering a predefined level of scores, wherein the first and second risk transfer parameters and the correlated first and/or second payment transfer parameters are dynamically adapted and/or accumulated by means of the central, expert-system-based circuit based on the triggered categorization of the driving motor vehicles during usage and based upon the usage-based and/or user-based and/or operational automotive data captured from the plurality of driving motor vehicles.
  • the driving score module triggers and automatically selects score driving parameters based on defined score driving behavior pattern by comparing captured telematics data with the defined score driving behavior pattern.
  • the score driving module can further for example
  • This alternative embodiment has, inter alia, the advantage that it allows to provide a real-time adapted multi-tier risk-transfer system. Further, it allows to capture and/or control the score driving behavior (also in the sense of location, time, road etc. of the driving), and compare its behavior within the technical operation and context. It allows to automatically capture score risks according to location or trip, and to automatically analyze and react on data related to the need of added services, as for example accident notifications).
  • the central, expert-system-based circuit comprises additional triggers triggering accident notification and/or other added services based on the captured telematics data of the telematics-based system for motor vehicle associated with the motor vehicles.
  • This alternative embodiment has, inter alia, the advantage that the system is capable of providing additional benefit to the customer based on additionally generated signaling.
  • the switching device comprises capturing means for capturing a transfer of payment from the first insurance system to the second payment-transfer module, wherein the second layer trigger structure of the system is activatable by triggering a payment transfer matching a predefined activation threshold parameter.
  • the second layer trigger structure of the system is activatable by triggering a payment transfer matching a predefined activation threshold parameter.
  • the present invention can be realized with a proportional or a non-proportional risk-transfer as coupling mechanism between the first and second risk-transfer systems, wherein under proportional risk-transfer coupling, the second risk-transfer system is activated by means of the switching device by a fixed percentage share of each risk transferred to the first risk-transfer system respectively each loss transferred to the risk-transfer system. Accordingly, the second risk-transfer system receives that fixed payment transfer from the first risk-transfer system by means of the second payment parameters.
  • the non-proportional coupling in case of triggering the exceedance of a defined activation threshold parameter associated with the occurrence of the defined risk events, the occurred loss is at least partly covered by the second insurance system based on the second risk transfer parameters and correlated second payment transfer parameters.
  • the activation threshold can be associated with each single loss occurred or on the accumulated loss measured by means of the aggregated loss parameter.
  • the non-proportional coupling can be realized in an excess of loss or stop loss risk-transfer structure, wherein the excess of loss structure can for example be based on a Per Risk XL (Working XL), Per Occurrence / Per Event XL (Catastrophe or Cat XL), or Aggregate XL structure.
  • a periodic payment transfers from the risk exposure components to the resource pooling system via a plurality of payment receiving modules is requested by means of a monitoring module of the resource- pooling system, wherein the risk transfer or protection for the risk exposure components is interrupted by the monitoring module, when the periodic transfer is no longer detectable via the monitoring module.
  • the periodic payment transfer request can be interrupted automatically or waived by the monitoring module, when the occurrence of indicators for a risk event is triggered in the data flow pathway of a risk exposure component.
  • an independent verification risk event trigger of the first and/or second resource pooling system is activated in cases when the occurrence of indicators for a risk event is triggered in the data flow pathway of the vehicle embedded or mobile network node integrated telematics devices or the central, expert-system-based circuit by means of the risk event triggers, and wherein the independent verification risk event trigger additionally issues a trigger in the event of the occurrence of indicators regarding risk events in an alternative data flow pathway with independent measuring parameters from the primary data flow pathway, for example of alternative telematics devices, in order to verify the occurrence of the risk events at the risk exposed automotive motor vehicles.
  • the transfer of payments is only assigned to the corresponding risk exposed motor vehicle if the occurrence of the risk event at the risk exposure component is verified by the independent verification risk event trigger.
  • embodiments have, inter alia, the advantage that the operational and financial stability of the system can thus be improved.
  • the system is rendered less vulnerable to fraud and counterfeit.
  • the system can for example comprise capturing means that capture a payment transfer assigned to one of the two risk transfer systems, for example also from the first insurance system to the second payment transfer module, wherein the assigned insurance system is activated, and wherein the risk exposure of the first insurance system associated with the assigned risk transfer layer is transferred to the second insurance system.
  • This alternative embodiment has, inter alia, the advantage that additionally the second insurance system distinctively can be activated, allowing a controlled and discrete risk transfer and risk cover from the first to the second resource pooling system.
  • the first insurance system comprises an interface module for accessing and adapting the assigned operational parameters prior to the transfer of the payment parameters from the first resource pooling system to the second resource pooling system.
  • This alternative embodiment has, inter alia, the advantage that the risk transfer structure can be dynamically adjusted and, moreover, selected and/or additionally optimized directly by the first insurance system or the second insurance system.
  • the central, expert-system-based circuit comprises means for processing risk-related driving motor vehicle data and for providing data regarding the likelihood of said risk exposure for one or a plurality of the pooled risk exposed motor vehicle, in particular, based on the risk-related motor vehicle data, and wherein the receipt and preconditioned storage of payments from the risk exposed motor vehicles for the pooling of their risks can be dynamically determined based on the total risk and/or the likelihood of risk exposure of the pooled risk-exposed motor vehicles.
  • This alternative embodiment has, inter alia, the advantage that the operation of the first and/or second resource pooling system can be dynamically adjusted to changing conditions in relation to the pooled risk, such as a change of the environmental conditions or risk distribution, or the like, of the pooled motor vehicles.
  • a further advantage is that the system does not require any manual adjustments, when it is operated in different environments, places or countries, because the size of the payments of the risk exposed motor vehicles is directly related to the total pooled risk.
  • the present invention does not necessarily have to lead to adjusted pricing or premiums. For example, it could also automatically provide coupons to automated motor vehicles driving in low risk regions, or that nothing at all changes but that the system uses the automotive data to automatically decide if the risk-transfer is continued the next year.
  • the present invention can also exclusively be used for automatically providing and activating adapted and/or specifically selected value added services, as for example accident notifications and/or feedback to the motor vehicle or driver and/or automated fleet risk reporting and/or automated and dynamically optimized underwriting etc.
  • the present invention allows an adaption of the risk of the first risk-transfer tier or system as well as risk on level of the insured motor vehicles (for example by risk-based driver feedback in real-time) and/or the second risk- transfer tier or system.
  • the feedback can for example be generated by comparing the motor vehicle's profile and pattern with other motor vehicle's profiles or pattern at the same location and/or comparable conditions.
  • the system comprises means for processing risk-related component data and for providing information regarding the likelihood of said risk exposure for one or a plurality of the pooled risk exposed motor vehicles, in particular, based on risk-related motor vehicles' data, and wherein the receipt and preconditioned storage of payments from the first resource pooling system to the second resource pooling system for the transfer of its risk can be dynamically
  • This alternative embodiment has, inter alia, the advantage that the operation of the first and/or second resource pooling system can be
  • a further advantage is the fact that the system does not require any manual adjustments, when it is operated in different environments, places or countries, because the size of the payments of the risk exposure components is directly related to the total pooled risk.
  • the number of pooled motor vehicles is dynamically adjusted via the first risk-transfer system to a range where non-covariant, occurring risks covered by the risk-transfer system affect only a relatively small proportion of the total pooled risk exposure components at any given time.
  • the second risk-transfer system can for example dynamically adjust the number of pooled risk shares transferred from first risk-transfer systems to a range where non-covariant, occurring risks covered by the second risk-transfer system affect only a relatively small proportion of the total pooled risk transfers from first risk-transfer systems at any given time.
  • This variant has, inter alia, the advantage that the operational and financial stability of the system can be improved.
  • the risk event triggers are dynamically adjusted by means of an operating module based on time-correlated incidence data for one or a plurality of the predefined risk events.
  • This alternative embodiment has, inter alia, the advantage that improvements in capturing risk events or avoiding the occurrence of such events, for example by improved forecasting systems, etc., can be dynamically captured by the system and dynamically affect the overall operation of the system based on the total risk of the pooled risk exposure components.
  • a total parametric payment is allocated with the triggering, and wherein the total allocated payment is transferable upon a triggering of the occurrence.
  • the predefined total payments can for example be leveled to any appropriate defined total sum, such as a predefined value, or any other sum related to the total transferred risk and the amount of the periodic payments of the risk exposed motor vehicle.
  • This alternative has, inter alia, the advantage that the parametric payments or the payments of predefined amounts can be relied on fixed amounts. Further, the parametric payment may allow for an adjusted payment of the total sum that can for example be dependent on the stage of the occurrence of a risk event, as triggered by the system.
  • Figure 1 shows a block diagram schematically illustrating an exemplary OEM-linked, telematics-based system and platform 1 for score-driven operations associated with motor vehicles 41 45 or transportation means of passengers or goods.
  • the telematics-based system 1 comprises telematics devices 41 1 415 associated with the plurality of motor vehicles 41 45.
  • the telematics devices 41 1 415 associated with the plurality of motor vehicles 41 45.
  • the telematics devices 41 1 415 associated with the plurality of motor vehicles 41 45.
  • FIG. 41 1 415 are connected via the interfaces 421 425 to the sensors and/or measuring devices 401 405 and/or an on-board diagnostic system 431 435 and/or an in-car interactive device 441 445, and wherein the telematics devices 41 1 415 capture usage-based 31 and/or user-based 32 and/or operational 33 telematics data 3 of the motor vehicle 41 45 and/or user 321 , 322, 323.
  • Figure 2 shows a block diagram schematically illustrating operational flow and processing steps according to an embodiment of the present invention for example according to figure 1 .
  • FIG 3 shows another block diagram schematically illustrating an exemplary automated, telematics-based system 1 for triggering score-driven operations associated with motor vehicles 41 45 or transportation means of passengers or goods.
  • the telematics-based system 1 comprises telematics devices 41 1 415 associated with the plurality of motor vehicles 41 45.
  • the telematics devices 41 1 415 associated with the plurality of motor vehicles 41 45.
  • the telematics devices 41 1 415 associated with the plurality of motor vehicles 41 45.
  • 41 1 415 are connected via the interfaces 421 425 to the sensors and/or measuring devices 401 405 and/or an on-board diagnostic system 431 435 and/or an in-car interactive device 441 445, and wherein the telematics devices 41 1 415 capture usage-based 31 and/or user-based 32 and/or operational 33 telematics data 3 of the motor vehicle 41 45 and/or user 321 , 322, 323.
  • the system 1 is capable of capturing different kinds of telematics data 3, as also for example driving behavior from the user and/or whether the motor vehicle 41 45 is driving itself (auto piloting) and/or the motor vehicle 41 45 is intervening with its automated or safety features.
  • the central, expert-system-based circuit 10 capture data 3 from the motor vehicle 41 45 itself.
  • the telematics devices can generate data 3 themselves by means of sensors of the motor vehicles' systems, for example provided by an on-board diagnostic system.
  • the central, expert-system-based circuit 10 is realized as a separate part of the automated, telematics-based system 1 , or as a part of the second risk-transfer system 12, wherein in the latter case, the scoring data can be provided by the second risk-transfer system 12 to the first risk-transfer system 12 and/or the risk exposed motor vehicles 41 45, in exchange of having access to the captured telematics data 3 and/or captured claim or loss data 71 1 715/721 725/731 735.
  • the automated, telematics-based system 1 may comprise one first risk-transfer system 1 1 or a plurality of first risk-transfer systems 1 1 a-1 1 d, all associated with the same second risk-transfer system 12.
  • Figure 4 shows another block diagram schematically illustrating an exemplary dynamically adaptable automotive car system 1 with telematics devices
  • FIG. 41 1 415 associated with a plurality of risk-exposed motor vehicles 41 45, according an embodiment variant of the invention.
  • FIG. 5 shows a block diagram schematically illustrating exemplary telematics devices 41 1 415 and real-time telematics data capturing.
  • Figure 1 schematically illustrates an architecture for a possible
  • an embodiment of the automated, telematics-based system 1 for electronically triggering score-driven operations associated with motor vehicles 41 45 or transportation means of passengers or goods, in particularly providing a dynamic, telematics-based system 1 and telematics data aggregator by means of a central, expert-system-based circuit 10 and telematics devices (41 1 415.
  • the automated, telematics-based system 1 reacts in real-time, dynamically on captured environmental or operational parameters 3, in particular on monitored and captured automotive parameters 3 of motor vehicles 41 45 during operation.
  • the present invention further is able to provide a telematics based automated risk-transfer, alert and real-time notification systems for motor vehicles 41 45 and wireless technology used in the context of telematics.
  • the present system 1 also provides to telematics-based real-time expert systems.
  • the inventive system 1 provides a structure for the use of telematics together with real-time risk-monitoring, automated risk-transfer and insurance systems based on captured and measured usage-based and/or user-based telematics data 3.
  • the telematics-based system 1 captures and categorizes risk-transfer profiles 1 14 in a result list 108, wherein the result list 108 is provided for display and selection to a user of the motor vehicle 41 45 via an interface of the user unit 461 465, which can for example be a mobile telecommunication node, as for example a smart phone by a mobile phone application, and/or the dashboard of the car somehow connected to the user unit 461 465 or another interface of the motor vehicle 41 45 by means of the central, expert-system-based circuit 10.
  • the user unit 461 465 can for example be a mobile telecommunication node, as for example a smart phone by a mobile phone application, and/or the dashboard of the car somehow connected to the user unit 461 465 or another interface of the motor vehicle 41 45 by means of the central, expert-system-based circuit 10.
  • the telematics devices 41 1 415 comprises one or more data transmission connection to on-board sensors and measuring devices 401 405 of the motor vehicle 41 45 and/or an on-board diagnostic system 431 435 and/or an in-car interactive device 441 445 of a motor vehicle 41 45.
  • the telematics devices 41 1 415 comprises one or more data transmission connection to on-board sensors and measuring devices 401 405 of the motor vehicle 41 45 and/or an on-board diagnostic system 431 435 and/or an in-car interactive device 441 445 of a motor vehicle 41 45.
  • the telematics devices 41 1 415 comprises one or more data transmission connection to on-board sensors and measuring devices 401 405 of the motor vehicle 41 45 and/or an on-board diagnostic system 431 435 and/or an in-car interactive device 441 445 of a motor vehicle 41 45.
  • the telematics devices 41 1 415 comprises one or more data transmission connection to on-board sensors and measuring devices 401 405 of the motor vehicle 41 45 and/or an on-
  • the on-board sensors and measuring devices 401 405 and/or the on-board diagnostic system 431 435 and/or the in-car interactive device 441 445 comprises proprioceptive sensors 4021 for sensing operating parameters 40121 of the motor vehicle 41 45 and/or exteroceptive sensors
  • the exteroceptive sensors or measuring devices 401 1 can, for example, comprise at least radar devices 401 17 for monitoring surrounding of the motor vehicle 41 45 and/or LIDAR devices 401 15 for monitoring surrounding of the motor vehicle
  • the 4012 for sensing operating parameters 40121 of the motor vehicles 41 45 can at least comprise motor speed and/or wheel load and/or heading and/or battery status of the motor vehicles 41 45.
  • connections 421 1 of the telematics devices 41 1 415 can for example comprise
  • Bluetooth IEEE 802.15.1
  • Bluetooth LE Low Energy 42101 as wireless connection for exchanging data using short-wavelength UHF (Ultra high frequency) radio waves in the ISM (industrial, scientific and medical) radio band from 2.4 to 2.485 GHz by building a personal area networks (PAN) with the on-board Bluetooth capabilities and/or 3G and/or 4G and/or GPS and/or Bluetooth LE (Low Energy) and/or BT based on Wi-Fi 802.1 1 standard, and/or a contactless or contact smart card, and/or a SD card (Secure Digital Memory Card) or another interchangeable non-volatile memory card.
  • PAN personal area networks
  • the telematics devices for exchanging data using short-wavelength UHF (Ultra high frequency) radio waves in the ISM (industrial, scientific and medical) radio band from 2.4 to 2.485 GHz by building a personal area networks (PAN) with the on-board Bluetooth capabilities and/or 3G and/or 4G and/or GPS and/or Bluetooth LE (Low Energy
  • 41 1 415 can for example act as wireless node within a corresponding data transmission network by means of antenna connections of the telematics devices
  • mobile telecommunication networks as for example 3G, 4G, 5G LTE (Long-Term Evolution) networks or mobile WiMAX or other
  • the telematics devices 41 1 415 can for example be connected to an on-board diagnostic system 431 435 and/or an in-car interactive device 441 445, wherein the telematics devices 41 1 415 capture usage-based 31 and/or user-based 32 automotive data 3 of the motor vehicle 41 45 and/or user.
  • the telematics devices 41 1 415 capture usage-based 31 and/or user-based 32 automotive data 3 of the motor vehicle 41 45 and/or user.
  • 41 1 415 can for example provide the one or more wireless connections 4210 by means radio data systems (RDS) modules and/or positioning system including a satellite receiving module and/or a mobile cellular phone module including a digital radio service module and/or a language unit in communication the radio data system or the positioning system or the cellular telephone module.
  • the satellite receiving module can for example comprise a Global Positioning System (GPS) circuit and/or the digital radio service module comprises at least a Global System for Mobile Communications (GSM) unit.
  • GPS Global Positioning System
  • GSM Global System for Mobile Communications
  • the plurality of interfaces of the mobile telecommunication apparatus 10 for connection with at least one of a motor vehicle's data transmission bus can for example comprise at least on interface for connection with a motor vehicle's Controller Area Network (CAN) bus, for example in connection with on-board diagnostics (OBD) port, or other connection for example for battery installed devices, or also OEM
  • CAN Controller Area Network
  • OBD on-board diagnostics
  • the measured operating parameters 40121 and/or environmental parameters 401 1 1 during operation of the motor vehicle 41 45 can for example comprise time-dependent speed measuring, hard breaking, acceleration, cornering, distance, mileage (PAYD), short journey, time of day, road and terrain type, mobile phone usage (while driving), weather/driving conditions, location, temperature, blind spot, local driving, sun angle and dazzling sun information (sun shining in drivers' face), seatbelt status, rush hour, fatigue, driver confidence, throttle position, lane changing, fuel consumption, VIN (vehicle identification number), slalom, excessive RPM (Revolutions Per Minute), off road, G forces, brake pedal position, driver alertness, CAN (Controller Area Network) bus (vehicle's bus) parameters including fuel level, distance to other vehicles, distance to obstacles, driver alertness,
  • Assistance Systems traction control data, usage of headlights and other lights, usage of blinkers, vehicle weight, amount of vehicle passengers, traffic sign information, junctions crossed, jumping of orange and red traffic lights, alcohol level detection devices, drug detection devices, driver distraction sensors, driver aggressiveness, driver mental and emotional condition, dazzling headlights from other vehicles, vehicle door status (open/closed), visibility through windscreens, lane position, lane choice, vehicle safety, driver mood, and/or passengers' mood. Up- ⁇ o-now, no prior art system is able to process such a variety of dynamic-monitored, risk-relevant data.
  • the advantage of the generated score parameters mirrors the captured sensory data in that the data components of the score can even for example comprise: customer policy details, individual driving data, crash forensics data, credit scores, statistical driving data, historic claims data, market databases, driving license points, statistical claims data, context data of weather or road type or surrounding.
  • the central, expert-system-based circuit 10 comprises a vehicle-telematics driven core aggregator 100 with telematics data-based triggers 1001 triggering, capturing, and monitoring in the dataflow pathway 451 455 of the sensors 401
  • the telematics devices 41 1 415 can for example comprise at least a GPS module
  • Global Positioning System Global Positioning System
  • geological compass module based on a 3-axis teslameter and a 3-axis accelerometer, and/or gyrosensor or gyrometer, and/or a MEMS accelerometer sensor comprising a consisting of a cantilever beam with the seismic mass as a proof mass measuring the proper or g-force acceleration, and/or a MEMS magnetometer or a magnetoresistive permalloy sensor or another three-axis magnetometers.
  • the central, expert-system-based circuit 10 comprises a driving score module 101 measuring and/or generating a single or a compound set of variable scoring parameters 101 1 1013 profiling the use and/or style and/or environmental condition of driving during operation of the motor vehicle 41 45 based upon the triggered, captured, and monitored operating parameters 401 1 1 or environmental parameters 40121 .
  • system 1 scores individual drivers based on the monitored operating parameters 401 1 1 or environmental parameters 40121 .
  • the first risk-transfer systems 10 are able to quote.
  • variable scoring parameters 101 1 1013 are profiling the use and/or style and/or environmental condition of driving during operation of the motor vehicle 41 45 and can be for example measured and/or generated by means of the driving score module 101 based upon the captured, triggered and monitored risk-related usage-based 31 and/or user-based 32 and/or operational 33 telematics data 3.
  • the variable scoring parameters 101 1 1013 at least comprise scoring parameters measuring a driver score measuring behavioral parameters of the driver, and/or a contextual score comprising at least number of intersections and/or road type, and/or a vehicle safety score comprising at least activated ADAS/AV features of the motor vehicle 41 45, and/or a mobility score comprising at least lending period and/or number of passengers.
  • the scoring parameters of the mobility score can further comprise a trustworthiness score comprising at least a care of assets score, and/or a peer-to-peer lending score, and/or a car sharing score, and/or a transportation services risk score, and/or a trustworthiness score and/or a vehicle type score.
  • the scoring parameter can, for example, further comprise a trustworthiness score comprising at least a care of assets score, and/or a peer-to-peer lending score, and/or a car sharing score, and/or a transportation services risk score, and/or a trustworthiness score and/or a vehicle type score.
  • the variable driving scoring parameter is at least based upon a measure of driver behavior parameters comprising speed and/or acceleration and/or braking and/or cornering and/or jerking, and/or a measure of distraction parameters comprising mobile phone usage while driving and/or a measure of fatigue parameters and/or drug use parameters
  • the variable contextual scoring parameter is at least based upon measured trip score parameters based on road type and/or number of intersection and/or tunnels and/or elevation, and/or measured time of travel parameters, and/or measured weather parameters and/or measured location parameters, and/or measured distance driven parameters
  • the variable vehicle safety scoring parameter is at least based upon measured ADAS feature activation parameters and/or measured vehicle crash test rating parameters and/or measured level of automation parameters of the motor vehicle 41 45 and/or measured software risk scores parameters.
  • This innovation makes it possible to link all main contributors of accidents to risk relevant data points and risk drivers for scoring and risk measuring/assessment technical objects.
  • the scoring and risk measurement/assessment can be achieved more accurately and in more precise manner for end consumers leading to an improved and optimized client centric experience and risk selection.
  • Measuring the main contributors they can for example be given on the example of main contributors to accidents in USA as follows: (1 ) Distracted driving, (2) Speeding, (3) Drunk driving, (4) Reckless driving, (5) Rain, (6) Running red lights, (7) Running stop signs, (8) Teenage drivers, (9) Night driving, (10) Car design effects.
  • a data link 21 is set by means of the wireless connection 4210 of the telematics devices 41 1 415 over a mobile
  • the telecommunication network 2 between the telematics devices 41 1 415 as client and the central, expert-system-based circuit 10.
  • the mobile telematics devices 41 1 415 act as wireless node 221 225 within said mobile telecommunication network 2.
  • the central expert-system-based circuit 10 automatically generates said single or set compound of variable scoring parameters.
  • the telematics data for example from the end user's mobile node application of vehicle usage is analysed to provide a scoring on ridesharing an peer-to-peer lending parameters (incl vehicle type, miles driven, number of people serviced/provided a lift, rental period of the car, potentially driving style, third party vehicle type, contextual data and score, individual score, trustworthiness score based on past lending activities, creditscore, AV/ADAS features score incl level of automation, peer-to-peer/carsharing lending score, etc. ) and then transferred to associated first insurance systems which generate a quote and policies based on the overall score obtained, the vehicle type and contextual data.
  • peer-to-peer lending parameters incl vehicle type, miles driven, number of people serviced/provided a lift, rental period of the car, potentially driving style, third party vehicle type, contextual data and score, individual score, trustworthiness score based on past lending activities, creditscore, AV/ADAS features score incl level of automation, peer-to-peer/carsharing lending score,
  • the system 1 can for example comprise two modules, (i) a car sharing/Peer-to-peer lending risk module and (ii) a sharing economy transportation risk module related to third parties for scoring. This positions the provider of the inventive system 1 for mobility risks as a service risk-transfer provider.
  • the risk-transfer handling comprises the aggregation system for peer-to-peer lending / car sharing / sharing economy transportation services risk-transfer.
  • the system 1 the automated and telematics-based risk-transfer platform and systems for peer-to-peer lending risk-transfer and sharing economy transportation risk (that allows fully automated risk-transfer and insurance incl. policy issuing, claims handling etc.) .
  • the latter may for example also be provided by an associated third party system.
  • Distribution of the solution can for example be performed through a) sharing economy provider or b) first insurance systems (i.e. primary insurance) through a smart phone (aggregator) application and/or through c) car manufacturer (for example OEMs) with embedded devices for example infotainment system/dashboard.
  • the present inventive system 1 can, for example, further offer added value services to the end-users or policyholders and/or scoring services based upon the three generated main scores: (1 ) a mobility score, (miles, number of people), (2) contextual score, (3) vehicle safety score, and potentially (4) driving score.
  • a shadow request 109 is transmitted to a plurality of automated first risk- transfer systems 1 1 , decentrally connected to the central, expert-system-based circuit 10 over a data transmission network.
  • the shadow request 109 comprises at least risk- relevant parameters based upon the measured and/or generated single or compound set of variable scoring parameters 101 1 1013.
  • the central, expert-system-based circuit 10 receives in response to the emitted shadow request 109 a plurality of individualized risk-transfer profiles 1 14 based upon the dynamically collected single or compound set of variable scoring parameters 101 1 1013.
  • the risk-relevant parameters of the shadow request 109 comprise at least usage-based 31 and/or user- based 32 and/or operating 33 telematics data 3 measured and/or generated by the telematics devices 41 1 415 based upon the triggered, captured, and monitored operating parameters 401 1 1 or environmental parameters 40121 , and the generated single or set compound of variable scoring parameters 101 1 1013.
  • the shadow requests 109 can for example be periodically transmitted to the plurality of automated first risk-transfer systems 1 1 based on the dynamically generated single or compound set of variable scoring parameters 101 1 1013and/or the triggered, captured, and monitored operating parameters 401 1 1 or environmental parameters 40121 .
  • a result list 108 can be dynamically adapted in real-time and displayed to the user for selection via the user unit 461 465 or the mobile phone by means the mobile phone application or another interactive device of the motor vehicles 41 , ...45.
  • the shadow requests 109 can also be generated and transmitted to the plurality of automated fist risk-transfer systems 1 1 based on the dynamically generated single or compound set of variable scoring parameters 101 1 1013 and/or the triggered, captured, and monitored operating parameters 401 1 1 or environmental parameters 40121 , if the central, expert-system-based circuit 10 triggers an alternation of the dynamically generated single or compound set of variable scoring parameters 101 1 1013 and/or the triggered, captured, and monitored operating parameters 401 1 1 or environmental parameters 40121 .
  • the result list 108 can be dynamically adapted in real-time and displayed to the user for selection. As embodiment variant, also a combination of the two before mentioned shadow request generations may be applied.
  • the central, expert-system-based circuit 10 dynamically captured and categorized the received plurality of individualized risk-transfer profiles 1 14 of the automated first risk-transfer systems 1 1 .
  • the result list 108 can be dynamically updated and provided for display and selection to the user of the motor vehicle 41 45 by means of the user unit 461 465 based upon the triggered, captured, and monitored operating parameters 40121 or environmental parameters 401 1 1 during operation of the motor vehicle 41 45. Therefore, the plurality of individualized risk-transfer profiles
  • the mobile automotive system 1 can for example automatically alert the user, if a more preferable risk-transfer profile 1 14 is triggered in relation to a before selected risk-transfer profile 1 14. Further, the telematics-based system 1 can also automatically adapt a risk-transfer associated with a user or motor vehicle 41 45, if a more preferable risk-transfer profile 1 14 is triggered in relation to a selected risk-transfer profile 1 14.
  • the result list 108 can dynamically be adapted in real-time and displayed to the user for selection based upon definable categorization criteria as for example first payment parameters
  • GPS Global Positioning System
  • GPRS General Packet Radio Service
  • 3G or 4G network third/fourth generation network

Abstract

L'invention concerne un système automatisé basé sur la télématique (1) pour des opérations commandées par score associées à des véhicules automobiles (41 45) ou à des moyens de transport de passagers ou de marchandises et basé sur une agrégation de données dynamique, basée sur la télématique, et un procédé associé, pour un transfert de risque automatisé lié à des schémas de prêt de pair à pair complexes, en particulier associés à des véhicules et à des schémas de covoiturage et à des schémas de transport d'économie de partage liés à des risques associés à des dommages causés à des tiers. Le système basé sur la télématique (1) comprend des dispositifs télématiques (41 1 415) associés à la pluralité de véhicules automobiles (41 45), les dispositifs télématiques (41 1 415) comprenant une connexion sans fil (42101-42108) à un circuit central basé sur un système expert (1 1). Les dispositifs télématiques (41 1 415) sont connectés par l'intermédiaire d'interfaces (421 425) aux capteurs et/ou dispositifs de mesure (401 405) et/ou à un système de diagnostic embarqué (431 435) et/ou un dispositif interactif embarqué (441 445), les dispositifs télématiques (41 1 415) capturant des données télématiques basées sur l'utilisation (31) et/ou basées sur l'utilisateur (32) et/ou opérationnelles (33) du véhicule automobile (41 45) et/ou de l'utilisateur (321, 322, 323). En réponse à une demande d'ombre émise (109), des profils de transfert de risque individualisés (1 14) sur la base des paramètres de notation variable générés de façon dynamique (101 1 1013) sont transmis depuis un premier système de transfert de risque (1 1) au véhicule automobile correspondant (41 45) et émis au moyen d'une unité d'utilisateur (461 465) du véhicule automobile (41 45) pour la sélection par le conducteur des véhicules automobiles (41 45). En réponse à l'émission d'un profil de transfert de risque individualisé (1 14) sur ladite unité d'utilisateur (461 465), des paramètres de transfert de paiement sont transmis à partir du premier système de transfert de risque (1 1) au fournisseur du système basé sur la télématique (1).
PCT/EP2016/071384 2016-09-10 2016-09-10 Système automatisé basé sur la télématique avec déclenchement et fonctionnement commandés par score de systèmes de transfert de risque d'économie de partage automatisé et procédé correspondant WO2018046102A1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
PCT/EP2016/071384 WO2018046102A1 (fr) 2016-09-10 2016-09-10 Système automatisé basé sur la télématique avec déclenchement et fonctionnement commandés par score de systèmes de transfert de risque d'économie de partage automatisé et procédé correspondant
US15/448,144 US11580474B2 (en) 2016-09-10 2017-03-02 Automated, telematics-based system with score-driven triggering and operation of automated sharing economy risk-transfer systems and corresponding method thereof
CN201780055723.3A CN109690606B (zh) 2016-09-10 2017-09-11 基于远程信息处理的系统及其相应的方法
EP17765175.9A EP3510553A1 (fr) 2016-09-10 2017-09-11 Système basé sur la télématique, intelligent et auto-adaptatif avec mesure, déclenchement et signalisation commandés par score du fonctionnement automatiquement dirigé de systèmes automatisés associés et procédé associé
PCT/EP2017/072787 WO2018046743A1 (fr) 2016-09-10 2017-09-11 Système basé sur la télématique, intelligent et auto-adaptatif avec mesure, déclenchement et signalisation commandés par score du fonctionnement automatiquement dirigé de systèmes automatisés associés et procédé associé

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2016/071384 WO2018046102A1 (fr) 2016-09-10 2016-09-10 Système automatisé basé sur la télématique avec déclenchement et fonctionnement commandés par score de systèmes de transfert de risque d'économie de partage automatisé et procédé correspondant

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US15/448,144 Continuation US11580474B2 (en) 2016-09-10 2017-03-02 Automated, telematics-based system with score-driven triggering and operation of automated sharing economy risk-transfer systems and corresponding method thereof

Publications (1)

Publication Number Publication Date
WO2018046102A1 true WO2018046102A1 (fr) 2018-03-15

Family

ID=56893986

Family Applications (2)

Application Number Title Priority Date Filing Date
PCT/EP2016/071384 WO2018046102A1 (fr) 2016-09-10 2016-09-10 Système automatisé basé sur la télématique avec déclenchement et fonctionnement commandés par score de systèmes de transfert de risque d'économie de partage automatisé et procédé correspondant
PCT/EP2017/072787 WO2018046743A1 (fr) 2016-09-10 2017-09-11 Système basé sur la télématique, intelligent et auto-adaptatif avec mesure, déclenchement et signalisation commandés par score du fonctionnement automatiquement dirigé de systèmes automatisés associés et procédé associé

Family Applications After (1)

Application Number Title Priority Date Filing Date
PCT/EP2017/072787 WO2018046743A1 (fr) 2016-09-10 2017-09-11 Système basé sur la télématique, intelligent et auto-adaptatif avec mesure, déclenchement et signalisation commandés par score du fonctionnement automatiquement dirigé de systèmes automatisés associés et procédé associé

Country Status (4)

Country Link
US (1) US11580474B2 (fr)
EP (1) EP3510553A1 (fr)
CN (1) CN109690606B (fr)
WO (2) WO2018046102A1 (fr)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111127156A (zh) * 2019-12-24 2020-05-08 北京三快在线科技有限公司 一种业务执行的方法及装置
US10832335B1 (en) * 2017-05-01 2020-11-10 State Farm Mutual Automobile Insurance Company Systems and methods for generating usage-based insurance contracts for peer-to-peer transactions
DE102020135046A1 (de) 2020-12-29 2022-06-30 Allianz Partners Sas Niederlassung Deutschland Verfahren zum Auslösen eines Kompensationsprozesses zum Kompensieren einer Beschädigung eines Kraftfahrzeugs sowie zugehörige Prozessorschaltung
EP4227917A1 (fr) * 2022-02-15 2023-08-16 Rentis S.A. Système intégré et procédé d'analyse des paramètres de fonctionnement d'un véhicule

Families Citing this family (79)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9424696B2 (en) * 2012-10-04 2016-08-23 Zonar Systems, Inc. Virtual trainer for in vehicle driver coaching and to collect metrics to improve driver performance
US9904900B2 (en) * 2015-06-11 2018-02-27 Bao Tran Systems and methods for on-demand transportation
US10157436B2 (en) 2015-10-09 2018-12-18 Gt Gettaxi Limited System for navigating vehicles associated with a delivery service
US10794713B2 (en) 2015-12-31 2020-10-06 Lyft, Inc. System for navigating drivers to passengers based on start times of events
CN109416873B (zh) * 2016-06-24 2022-02-15 瑞士再保险有限公司 具有自动化风险控制系统的自主或部分自主机动车辆及其相应方法
US10176443B2 (en) * 2016-08-09 2019-01-08 Conduent Business Services, Llc Method and system for dispatching of vehicles in a public transportation network
EP3805889A1 (fr) * 2016-12-23 2021-04-14 Mobileye Vision Technologies Ltd. Système de navigation surveillant le comportenant d'un vehicule hote et d'un vehicule cible.
US10362461B2 (en) * 2016-12-27 2019-07-23 Denso Corporation System and method for microlocation sensor communication
US10528059B2 (en) * 2017-05-24 2020-01-07 Uatc, Llc Systems and methods for controlling autonomous vehicles that provide a vehicle service to users
US20180342054A1 (en) * 2017-05-26 2018-11-29 Bsquare Corp. System and method for constructing augmented and virtual reality interfaces from sensor input
US10449916B2 (en) * 2017-06-05 2019-10-22 Paccar Inc. Method for improving fuel economy by influencing driver behavior
US11273778B1 (en) * 2017-11-09 2022-03-15 Amazon Technologies, Inc. Vehicle voice user interface
US11404075B1 (en) * 2017-11-09 2022-08-02 Amazon Technologies, Inc. Vehicle voice user interface
US10706487B1 (en) * 2017-11-11 2020-07-07 Lyft, Inc. Dynamically generating and updating multipliers for a transportation matching system using machine learning
GB201719108D0 (en) * 2017-11-17 2018-01-03 Xtract360 Ltd Collision evaluation
DE112018005737T5 (de) * 2017-11-30 2020-08-13 Robert Bosch Gmbh Fahrzeugflottenmanagement mit einer hiearachie von prioritätsfaktoren
US11073838B2 (en) 2018-01-06 2021-07-27 Drivent Llc Self-driving vehicle systems and methods
US10895463B1 (en) 2018-01-24 2021-01-19 State Farm Mutual Automobile Insurance Company Systems and methods of monitoring and analyzing multimodal transportation usage
US10579054B2 (en) * 2018-01-29 2020-03-03 Uatc, Llc Systems and methods for on-site recovery of autonomous vehicles
US10678243B2 (en) * 2018-02-13 2020-06-09 Chongqing Jinkang New Energy Vehicle Co., Ltd. Systems and methods for scalable electrical engineering (EE) architecture in vehicular environments
US11087571B2 (en) * 2018-02-16 2021-08-10 General Motors Llc Monitoring quality of care at vehicle
US11017665B1 (en) * 2018-02-25 2021-05-25 Matthew Roy Vehicle-to-vehicle payment system for traffic prioritization in self-driving vehicles
US10939262B2 (en) * 2018-03-01 2021-03-02 The Trustees Of Princeton University System and method for bringing programmability and connectivity into isolated vehicles
DE102018206390A1 (de) * 2018-04-25 2019-10-31 Localoffercompass Ug (Haftungsbeschränkt) Verteiltes Warenwirtschaftssystem
WO2019241307A2 (fr) * 2018-06-11 2019-12-19 Traxen, Inc. Système de régulateur de vitesse automatisé pour réduire automatiquement une consommation globale d'énergie de véhicule terrestre
CN109191157B (zh) * 2018-06-27 2022-09-09 深圳市元征科技股份有限公司 一种车辆使用管理方法、服务器及计算机可读存储介质
EP3847070A4 (fr) 2018-09-04 2021-11-10 Cambridge Mobile Telematics, Inc. Systèmes et procédés de classification de comportement de conducteur
US10552773B1 (en) 2018-09-07 2020-02-04 Lyft, Inc. Efficiency of a transportation matching system using geocoded provider models
US10974728B2 (en) * 2018-09-11 2021-04-13 Lightmetrics Technologies Pvt. Ltd. Methods and systems for facilitating drive related data for driver monitoring
KR102523250B1 (ko) * 2018-09-20 2023-04-20 현대자동차주식회사 차량용 제어 장치, 차량, 및 차량의 제어방법
US11644833B2 (en) 2018-10-01 2023-05-09 Drivent Llc Self-driving vehicle systems and methods
US11221621B2 (en) 2019-03-21 2022-01-11 Drivent Llc Self-driving vehicle systems and methods
US10832569B2 (en) 2019-04-02 2020-11-10 Drivent Llc Vehicle detection systems
AU2018256664A1 (en) * 2018-11-02 2020-05-21 Australian Bond Exchange Holdings Limited System and Computer Implemented Method for Facilitating the Transaction and Settlement of a Financial Instrument
US10803213B2 (en) 2018-11-09 2020-10-13 Iocurrents, Inc. Prediction, planning, and optimization of trip time, trip cost, and/or pollutant emission for a vehicle using machine learning
CN109635971A (zh) * 2018-11-21 2019-04-16 北京智行者科技有限公司 一种人货共享用车服务方法
US11320819B2 (en) * 2018-12-17 2022-05-03 Here Global B.V. Method, apparatus and computer program product for estimating accuracy of local hazard warnings
US11257146B1 (en) 2019-02-04 2022-02-22 State Farm Mutual Automobile Insurance Company Incentivizing and/or penalizing vehicle renters based on telematics data
US10703379B1 (en) 2019-02-04 2020-07-07 State Farm Mutual Automobile Insurance Company System and methods for determining owner's preferences based on vehicle owner's telematics data
US10744976B1 (en) * 2019-02-04 2020-08-18 Drivent Llc Self-driving vehicle systems and methods
US10668930B1 (en) 2019-02-04 2020-06-02 State Farm Mutual Automobile Insurance Company Determining acceptable driving behavior based on vehicle specific characteristics
US11176562B1 (en) 2019-02-04 2021-11-16 State Farm Mutual Automobile Insurance Company System and methods for predicting rental vehicle use preferences
US11915306B1 (en) * 2019-02-04 2024-02-27 State Farm Mutual Automobile Insurance Company System and methods for determining rental eligibility based on contextual telematics data
US11328363B1 (en) * 2019-03-21 2022-05-10 State Farm Mutual Automobile Insurance Company Systems and methods for managing insurance premiums based upon peer-to-peer property sharing
US10699564B1 (en) 2019-04-04 2020-06-30 Geotab Inc. Method for defining intersections using machine learning
US11403938B2 (en) 2019-04-04 2022-08-02 Geotab Inc. Method for determining traffic metrics of a road network
US11335189B2 (en) 2019-04-04 2022-05-17 Geotab Inc. Method for defining road networks
US11341846B2 (en) 2019-04-04 2022-05-24 Geotab Inc. Traffic analytics system for defining road networks
US11335191B2 (en) * 2019-04-04 2022-05-17 Geotab Inc. Intelligent telematics system for defining road networks
CN110171417B (zh) * 2019-05-24 2020-08-11 无锡佶达德光电子技术有限公司 基于激光雷达的定速巡航装置
US11386502B2 (en) * 2019-06-13 2022-07-12 Sure, Inc. Automatic action-based product provisioning
EP3925229A4 (fr) * 2019-06-26 2022-03-30 Samsung Electronics Co., Ltd. Appareil d'affichage et son procédé de commande
US11702090B2 (en) 2019-08-06 2023-07-18 Nissan North America System for an automated vehicle
US11507906B2 (en) * 2019-08-22 2022-11-22 Toyota Motor North America, Inc. Ride-sharing safety system
US11954736B1 (en) 2019-08-28 2024-04-09 State Farm Mutual Automobile Insurance Company Systems and methods for generating mobility insurance products using ride-sharing telematics data
US11427207B1 (en) * 2019-08-29 2022-08-30 United Services Automobile Association (Usaa) Systems and methods for controlling vehicle systems based on driver assessment
CN112750045A (zh) * 2019-10-30 2021-05-04 上海博泰悦臻电子设备制造有限公司 用于生成保险信息的方法、移动设备和计算机可读存储介质
US11341525B1 (en) 2020-01-24 2022-05-24 BlueOwl, LLC Systems and methods for telematics data marketplace
US20210300334A1 (en) 2020-03-26 2021-09-30 Toyota Motor North America, Inc. Transport relocation
US11288762B2 (en) 2020-03-26 2022-03-29 Toyota Motor North America, Inc. Vacancy processing
US11132899B1 (en) 2020-03-26 2021-09-28 Toyota Motor North America, Inc. Acquiring vacant parking spot
JP2021165898A (ja) * 2020-04-06 2021-10-14 トヨタ自動車株式会社 情報処理装置、情報処理プログラム及び情報処理システム
US11440555B2 (en) 2020-05-18 2022-09-13 Verizon Connect Development Limited Systems and methods for detecting and classifying an unsafe maneuver of a vehicle
WO2021244731A1 (fr) * 2020-06-01 2021-12-09 Swiss Reinsurance Company Ltd. Canal numérique pour mesure de risque, classification et souscription automatisées basées sur un scénario, pilotées par des paramètres, dans des environnements de données fragmentés, non structurés et procédé correspondant
US11880781B2 (en) * 2020-07-24 2024-01-23 Nb Ventures, Inc. Autonomous sourcing and category management
CN111885540A (zh) * 2020-08-07 2020-11-03 苏州健雄职业技术学院 一种基于nb-iot的智能交通车辆诊断监控与云端数据服务平台系统
US11798321B2 (en) * 2020-08-28 2023-10-24 ANI Technologies Private Limited Driver score determination for vehicle drivers
CN112100857B (zh) * 2020-09-17 2022-04-12 燕山大学 一种分心驾驶行为的风险评估方法
US11768296B2 (en) * 2020-10-07 2023-09-26 International Business Machines Corporation Dynamic assignment of devices based on precision sensors
US11654921B2 (en) 2020-11-10 2023-05-23 Toyota Motor Engineering & Manufacturing North America, Inc. Systems and methods for limiting driver distraction
WO2022101685A1 (fr) * 2020-11-13 2022-05-19 Wego S.R.L. Procédé et plateforme logicielle pour partager un véhicule entre utilisateurs
US20220155796A1 (en) * 2020-11-18 2022-05-19 Vinli, Inc. Collaborative Mobility Risk Assessment Platform
WO2022117774A1 (fr) * 2020-12-02 2022-06-09 Swiss Reinsurance Company Ltd. Système électronique pour des mesures prospectives de fréquences et/ou de probabilités de survenue d'accidents reposant sur des mesures localisées de dispositifs automobiles, et procédé correspondant
US11615478B2 (en) 2021-02-19 2023-03-28 Allstate Insurance Company Selectively shared vehicle-based telematics
US11898865B1 (en) 2021-06-03 2024-02-13 Allstate Insurance Company Using context based machine learning for generation of customized driving outputs
US20230078184A1 (en) * 2021-09-16 2023-03-16 Hewlett-Packard Development Company, L.P. Transmissions of secure activities
US20230098178A1 (en) * 2021-09-27 2023-03-30 Here Global B.V. Systems and methods for evaluating vehicle occupant behavior
CN114114954B (zh) * 2021-11-08 2024-04-19 北京三快在线科技有限公司 一种无人设备的控制方法及装置
JP2023076261A (ja) * 2021-11-22 2023-06-01 本田技研工業株式会社 情報処理サーバ、情報処理方法、プログラム及び記憶媒体

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8799036B1 (en) * 2013-03-10 2014-08-05 State Farm Mutual Automobile Insurance Company Systems and methods for analyzing vehicle operation data to facilitate insurance policy processing
US9390452B1 (en) * 2015-01-28 2016-07-12 Allstate Insurance Company Risk unit based policies

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040236673A1 (en) * 2000-10-17 2004-11-25 Eder Jeff Scott Collaborative risk transfer system
US7421334B2 (en) * 2003-04-07 2008-09-02 Zoom Information Systems Centralized facility and intelligent on-board vehicle platform for collecting, analyzing and distributing information relating to transportation infrastructure and conditions
BRPI0925336A2 (pt) * 2009-04-07 2016-04-26 Volvo Technology Corp método e sistema para reforço de segurança e eficiência de tráfego para veículos
US20110161119A1 (en) * 2009-12-24 2011-06-30 The Travelers Companies, Inc. Risk assessment and control, insurance premium determinations, and other applications using busyness
WO2012103306A2 (fr) * 2011-01-27 2012-08-02 Berkeley Telematics Inc. Détermination du coût d'une assurance automobile
US20130006674A1 (en) * 2011-06-29 2013-01-03 State Farm Insurance Systems and Methods Using a Mobile Device to Collect Data for Insurance Premiums
JP5956682B2 (ja) * 2012-06-19 2016-07-27 スイス リインシュランス カンパニー リミテッド マイクロリソースプーリング・システム及びその対応する方法
US20140039935A1 (en) * 2012-08-01 2014-02-06 Sega Data Logistics, Inc. Insurance verification system (insvsys)
US9008641B2 (en) * 2012-12-27 2015-04-14 Intel Corporation Detecting a user-to-wireless device association in a vehicle
US20150112733A1 (en) * 2013-10-23 2015-04-23 State Farm Mutual Automobile Insurance Company In-vehicle insurance applications, Methods and systems for automatically collecting insurance risk related data
US10783587B1 (en) * 2014-02-19 2020-09-22 Allstate Insurance Company Determining a driver score based on the driver's response to autonomous features of a vehicle
US10580081B2 (en) * 2014-09-05 2020-03-03 Clutch Technologies, Llc System and method for dynamic insurance coverage in a subscription vehicle service
CN105374211B (zh) * 2015-12-09 2018-01-05 敏驰信息科技(上海)有限公司 基于多源数据计算驾驶风险与辅助车险定价的系统及方法

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8799036B1 (en) * 2013-03-10 2014-08-05 State Farm Mutual Automobile Insurance Company Systems and methods for analyzing vehicle operation data to facilitate insurance policy processing
US9390452B1 (en) * 2015-01-28 2016-07-12 Allstate Insurance Company Risk unit based policies

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10832335B1 (en) * 2017-05-01 2020-11-10 State Farm Mutual Automobile Insurance Company Systems and methods for generating usage-based insurance contracts for peer-to-peer transactions
US11682081B1 (en) 2017-05-01 2023-06-20 State Farm Mutual Automobile Insurance Company Systems and methods for generating usage-based insurance contracts for peer-to-peer transactions
CN111127156A (zh) * 2019-12-24 2020-05-08 北京三快在线科技有限公司 一种业务执行的方法及装置
DE102020135046A1 (de) 2020-12-29 2022-06-30 Allianz Partners Sas Niederlassung Deutschland Verfahren zum Auslösen eines Kompensationsprozesses zum Kompensieren einer Beschädigung eines Kraftfahrzeugs sowie zugehörige Prozessorschaltung
EP4227917A1 (fr) * 2022-02-15 2023-08-16 Rentis S.A. Système intégré et procédé d'analyse des paramètres de fonctionnement d'un véhicule

Also Published As

Publication number Publication date
US11580474B2 (en) 2023-02-14
CN109690606A (zh) 2019-04-26
US20180075380A1 (en) 2018-03-15
EP3510553A1 (fr) 2019-07-17
WO2018046743A1 (fr) 2018-03-15
CN109690606B (zh) 2024-01-16

Similar Documents

Publication Publication Date Title
US11580474B2 (en) Automated, telematics-based system with score-driven triggering and operation of automated sharing economy risk-transfer systems and corresponding method thereof
US10346925B2 (en) Telematics system with vehicle embedded telematics devices (OEM line fitted) for score-driven, automated risk-transfer and corresponding method thereof
US11562435B2 (en) Apparatus for a dynamic, score-based, telematics connection search engine and aggregator and corresponding method thereof
US10878510B2 (en) Telematics system and corresponding method thereof
JP6849705B2 (ja) 自動化されたリスク制御システムを含む自律的又は部分的に自律的な自動車及びそれに対応する方法
US11935128B2 (en) Blockchain systems and methods for managing usage-based contracts
US20190102840A1 (en) Electronic System for Dynamic, Quasi-Realtime Measuring and Identifying Driver Maneuvers Solely Based on Mobile Phone Telemetry, and a Corresponding Method Thereof
US20200357075A1 (en) Systems and methods for managing insurance contracts using telematics data to build a user profile
US11361388B1 (en) Blockchain systems and methods for managing usage-based contracts
Continental Connected Car 2014

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16763269

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 16763269

Country of ref document: EP

Kind code of ref document: A1